



"""simple docstring"""






lowerCAmelCase__              =							0  # The first color of the flag.
lowerCAmelCase__              =							1  # The second color of the flag.
lowerCAmelCase__              =							2  # The third color of the flag.
lowerCAmelCase__              =							(red, white, blue)






def 			snake_case_    ( A_   :						list		):


       '''simple docstring'''





       if not sequence:
              return []
       if len(A_		) == 1:
              return list(A_		)
       _lowerCamelCase		:							List[str]            =					0
       _lowerCamelCase		:							Tuple            =					len(A_		) - 1
       _lowerCamelCase		:							List[str]            =					0
       while mid <= high:
              if sequence[mid] == colors[0]:
                     _lowerCamelCase     ,       _lowerCamelCase		:							int            =					sequence[mid], sequence[low]
                     low += 1
                     mid += 1
              elif sequence[mid] == colors[1]:
                     mid += 1
              elif sequence[mid] == colors[2]:
                     _lowerCamelCase     ,       _lowerCamelCase		:							Optional[int]            =					sequence[high], sequence[mid]
                     high -= 1
              else:
                     _lowerCamelCase		:							List[Any]            =					F'''The elements inside the sequence must contains only {colors} values'''
                     raise ValueError(A_		)
       return sequence


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   lowerCAmelCase__              =							input('''Enter numbers separated by commas:\n''').strip()
   lowerCAmelCase__              =							[int(item.strip()) for item in user_input.split(''',''')]
   print(F"""{dutch_national_flag_sort(unsorted)}""")



'''simple docstring'''




import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD






def __lowerCAmelCase					(				UpperCamelCase__							)      ->       List[str]:
    def wrapper(*UpperCamelCase__							,    **UpperCamelCase__							):
        __lowerCamelCase            =    timeit.default_timer()
        __lowerCamelCase            =    func(*UpperCamelCase__							,    **UpperCamelCase__							)
        __lowerCamelCase            =    timeit.default_timer() - starttime
        return delta

    __lowerCamelCase            =    func.__name__

    return wrapper






def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__=1_00							,    UpperCamelCase__=None							)      ->       Dict:
    __lowerCamelCase            =    []
    __lowerCamelCase            =    seq_shapes or {}
    for i in range(UpperCamelCase__							):
        __lowerCamelCase            =    {}
        for col_id, (k, v) in enumerate(features.items()							):
            if isinstance(UpperCamelCase__							,    _ArrayXD							):
                __lowerCamelCase            =    np.random.rand(*v.shape							).astype(v.dtype							)
            elif isinstance(UpperCamelCase__							,    datasets.Value							):
                if v.dtype == "string":
                    __lowerCamelCase            =    '''The small grey turtle was surprisingly fast when challenged.'''
                else:
                    __lowerCamelCase            =    np.random.randint(10							,    size=1							).astype(v.dtype							).item()
            elif isinstance(UpperCamelCase__							,    datasets.Sequence							):
                while isinstance(UpperCamelCase__							,    datasets.Sequence							):
                    __lowerCamelCase            =    v.feature
                __lowerCamelCase            =    seq_shapes[k]
                __lowerCamelCase            =    np.random.rand(*UpperCamelCase__							).astype(v.dtype							)
            __lowerCamelCase            =    data

        dummy_data.append((i, example)							)

    return dummy_data






def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__							,    UpperCamelCase__=1_00							,    UpperCamelCase__=None							)      ->       Dict:
    __lowerCamelCase            =    generate_examples(UpperCamelCase__							,    num_examples=UpperCamelCase__							,    seq_shapes=UpperCamelCase__							)

    with ArrowWriter(features=UpperCamelCase__							,    path=UpperCamelCase__							) as writer:
        for key, record in dummy_data:
            __lowerCamelCase            =    features.encode_example(UpperCamelCase__							)
            writer.write(UpperCamelCase__							)

        __lowerCamelCase      ,    __lowerCamelCase            =    writer.finalize()

    if not num_final_examples == num_examples:
        raise ValueError(
            f"""Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}."""							)

    __lowerCamelCase            =    datasets.Dataset.from_file(filename=UpperCamelCase__							,    info=datasets.DatasetInfo(features=UpperCamelCase__							)							)

    return dataset
